Select safer Open Source Software and manage dependencies across the SDLC.
Base dependency selection on leading risk indicators and use rego-based policies to warn developers early, or take disruptive action when the risk warrants it.
Leading Risk Indicators
Scan OSS source code and meta-data for code quality, maintainability, supportability, and security issues.
Simplify Package Selection
Conversational AI interface eliminates the guesswork and allows developers to confidently select approved OSS packages.
Integrated Across The SDLC
Apply your risk tolerance into policy guardrails within IDEs, pull-requests, and CI pipelines to automate enforcement
Leading Risk Indicators
Endor Labs scans the OSS ecosystem and provides holistic scores to each package version. These scores are based on the popularity, activity, quality and security of each version.
AI-assisted OSS selection
DroidGPT is a conversational AI interface that let's you find OSS package versions quickly, and understand the associate risks. Simply ask "what are good alternatives for Log4j?" or "what Python ML packages have the most permissive license?"
Govern OSS with granular policies
Monitor your OSS dependency security posture from selection to production and enforce CI policies that can warn developers, or take disruptive action only when the risk can impact the application. Fine tune your policies to ensure you never slow down developers without a good reason.
